An information-theoretic approach to partitioning simultaneous transmit and receive digital phased arrays

Authors

Ian Thomas Cummings, Michigan Technological UniversityFollow
Timothy J. Schulz, Michigan Technological UniversityFollow
Jonathan Doane, MIT Lincoln Laboratory
Timothy C. Havens, Michigan Technological UniversityFollow

Document Type

Conference Proceeding

Publication Date

6-11-2018

Department

Department of Electrical and Computer Engineering; Center for Data Sciences

Abstract

Dynamically reconfigurable digital phased array technology has become more common and advances in signal processing techniques have enabled digital self-interference cancellation sufficient for practical simultaneous transmit and receive applications. As systems implement these technologies, techniques for configuring arrays must be developed. In this work, we consider operating an array in an imaging mode and demonstrate the effectiveness of the Fisher Information of a point target's estimated cross-range position in determining the optimal partitioning of an array into transmit and receive elements. We demonstrate that the partitions formed by optimizing the Fisher Information metric perform better than those that consider other metrics.

Publisher's Statement

©2018 IEEE. Publisher's version of record: https://doi.org/10.1109/RADAR.2018.8378606

Publication Title

2018 IEEE Radar Conference

Recommended Citation

Cummings, I. T., Schulz, T. J., Doane, J., & Havens, T. C. (2018). An information-theoretic approach to partitioning simultaneous transmit and receive digital phased arrays. 2018 IEEE Radar Conference. http://doi.org/10.1109/RADAR.2018.8378606
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/977